I do not have direct ML experience at the moment. I’ve only run simpler regressions. I was making an educated guess as to the tech which may emerge, and it doesn’t seem far-fetched since it probably would not require language comprehension or higher order reasoning. I would love someone who’s worked with ML to weigh in.
The way I see such a thing working is that you train it to identify what makes your writing unique . Everyone has a highly esoteric writing style, akin to a thumbprint.
An ML optimizing for uniqueness can identify:
- Relative frequency of certain words
- Diction
- Written tics
- Distance between certain words that the author tends to cluster together
- Mean clauses per sentence, clause variance
- Symbol usage
- Affect
- Interests
and abstract patterns that we haven’t even recognized yet. You can limit the search space at first by pointing the algorithm at certain websites and sub-sites that you’re fairly certain the person uses, but eventually I think even that will not be necessary.